Comprehensive study on phase stability of lead-free Sn-based perovskite FAxMA1-xSnI3 by Zih-Lie Huang, Cheng-Hsien Yeh, Ming-Yao Wang, Vincent Wing-hei Lau, Hong-Kang Tian, Chuan-Feng Shih

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Usability of a Mobile Point-of-Care App for the Index of Severity for Eosinophilic Esophagitis by Evan S. Dellon, Glenn T. Furuta, Nick Tomeo, Anya Karavanov, Zoe Smernoff, Joy Harrington, Seema S. Aceves

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Optimization of Kelulut Honey Addition on Organoleptic Quality of Pasteurized Goat Milk by Andi Nurmasytha, Ari Wibowo, Anastasya Dian Sulistyowati, Fauziyyah Divayanti, Amalina Nur Wahyuningtyas, Kirana Dara Dinanti Adiputra

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Inya: Wet Nurse and Succesful Regeneration of the Mataram Islamic Court Authorities in the Past by Sumarno Sumarno, Indra Fibiona, Siska Nurazizah Lestari

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Learning from Outputs: Improving Multi-Object Tracking Performance by Tracker Fusion by Vincenzo M. Scarrica, Antonino Staiano

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MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…In order to assess the proposed method, we introduce a new dataset comprising more than 45,000 code solutions generated by LLMs for programming problems. The solutions for these programming problems which were obtained from three advanced LLMs (GPT4, Gemini, and Code-bison-32k), were written in Python, Java, and C++. …”
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Fatigue trajectories by wearable remote monitoring of breast cancer patients during radiotherapy by Angela Barillaro, Chiara Feoli, Adriano Tramontano, Marco Comerci, Mara Caroprese, Renato Cuocolo, Oscar Tamburis, Mario Petrazzuoli, Maria Anna D’Arienzo, Antonio Farella, Caterina Oliviero, Stefania Clemente, Laura Cella, Mario Magliulo, Manuel Conson, Roberto Pacelli

“…Several Machine Learning (ML) methods were trained to characterize RIF on the basis of HR and STP collected data. …”
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One Health initiative in India: Genesis and hurdles in establishing the first consortium by Nagendra R. Hegde, Malathi Talari, Subeer S. Majumdar

“…There are several challenges in implementing a meaningful One Health program. These include (a) understanding the language, intricacies, idiosyncrasies, and outcome indicators for each sector in multi-sectoral collaborations, (b) requirement of each partner to be trained outside their area of expertise, (c) absence of analysis of economics and long-term benefits, (d) complexities of the coordination and hand-holding of the various partners, and (e) uninterrupted financing of large consortia. …”
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Lashing Force Prediction Model with Multimodal Deep Learning and AutoML for Stowage Planning Automation in Containerships by Chaemin Lee, Mun Keong Lee, Jae Young Shin

“…The multimodal deep learning with the ANN, CNN and RNN, and AutoML approach is proposed for the machine learning model. The trained model is able to predict the lashing force result and its result is close to the result from its Class.…”
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A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

“…The network was trained and evaluated on our own database of 108 h collected at the Neonatal Intensive Care Unit, Dept. of Neonatology of Pediatrics, Semmelweis University, Budapest, Hungary.…”
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Precursor of speed traffic and increase of dimensions of rolling stock on railways of the Russia (to the 100 anniversary of the birth of Mikhail Feliksovich Verigo) by Y. M. Lazarenko

“…Verigo, are noted: increase of operational speed of passenger trains to 200 km/h and increasing of carrying and available capacity due to use of increased dimensions. …”
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Online prediction of optimal deep brain stimulation contacts from local field potentials in Parkinson’s disease by Marjolein Muller, Stefano Scafa, Ibrahem Hanafi, Camille Varescon, Chiara Palmisano, Saskia van der Gaag, Rodi Zutt, Niels A. van der Gaag, Carel F. E. Hoffmann, Jocelyne Bloch, Mayte Castro Jiménez, Julien F. Bally, Philipp Capetian, Ioannis U. Isaias, Eduardo M. Moraud, M. Fiorella Contarino

“…Abstract Selecting optimal contacts for chronic deep-brain stimulation (DBS) requires a monopolar review, involving time-consuming manual testing by trained personnel, often causing patient discomfort. …”
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A transformer based generative chemical language AI model for structural elucidation of organic compounds by Xiaofeng Tan

“…Abstract For over half a century, computer-aided structural elucidation systems (CASE) for organic compounds have relied on complex expert systems with explicitly programmed algorithms. These systems are often computationally inefficient for complex compounds due to the vast chemical structural space that must be explored and filtered. …”
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Topside Electron Density Modeling Using Neural Network and Empirical Model Predictions by S. Dutta, M. B. Cohen

“…In prior work, an artificial neural network (NN) was developed and trained on two solar cycles worth of Defense Meteorological Satellite Program data (113 satellite‐years), along with global drivers and indices to predict topside electron density. …”
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Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles by Shumin Ruan, Yue Ma

“…In the velocity prediction module, a long short-term memory (LSTM) neural network model, which is trained by the traffic data derived from a VR-based driving simulator, is adopted to predict the future driving information by using driver action information and current vehicle’s velocity. …”
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Investigation of Some Performance Characteristics and Handball Talent Levels of Male and Female Students by İdris Kayantaş, Harun Genç, Gökmen Kılnçarslan, Akan Bayraktar

“…Statistical analyzes of the measurements were made in the SPSS 22 program. When the total scores of the male and female students who applied the handball ability test battery were examined, it is determined that there are 17 female and 22 male students with good and very good level. …”
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Are sexual health survey items understood as intended by African and Asian migrants to Australia? Methods, results and recommendations for qualitative pretesting by Alison Reid, Roanna Lobo, Jo Durham, Limin Mao, Graham Brown, Daniel Vujcich, Meagan Roberts, Zhihong Gu, Lisa Hartley, Piergiorgio Moro, Amy B Mullens, Baden Offord, Enaam Oudih

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Tetanus vaccine coverage in recommended and more than recommended doses among mothers in a West Cameroon health district: a cross sectional study [version 2; peer review: 1 approve... by Trevor Anyambod Mboh, Linda Evans Eba Ze, Ruth Noutakdie Fossi, Dominique Majoric Omokolo, Jerome Ateudjieu, Etienne Guenou, Martin Nguetsop, Igor Nguemouo Nguegang

“…The number of doses of Td vaccine recommended by the Expanded Program of Immunization is based on documented protective immune response. …”
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Predicting 30-Day Venous Thromboembolism Following Total Joint Arthroplasty: Adjusting for Trends in Annual Length of Stay by Johnathan R. Lex, MBChB, MASc, Robert Koucheki, MD, MEng, Aazad Abbas, MD, Jesse I. Wolfstadt, MD, MSc, FRCSC, FAAOS, Alexander S. McLawhorn, MD, MBA, Bheeshma Ravi, MD, PhD, FRCSC

“…The logistic regression model trained on all data with a balanced loss scoring function performed the best (area under the curve = 0.600). …”
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A Novel Framework for Saraiki Script Recognition Using Advanced Machine Learning Models (YOLOv8 and CNN) by Hafiz Muhammad Raza Ur Rehman, Syed Arfan Haider, Hiba Faisal, Kook-Yeol Yoo, M. Z. Jhandir, Gyu Sang Choi

“…Several data augmentation approaches were used to improve the performance of these models, which had been painstakingly trained. After four distinct models A, B, C, and D were trained, Model D continuously performed better than the others. …”
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